ABSTRACT
The jackknife and bootstrap methods chapter provides an overview of the main approaches to each technique as centered on the concept of a statistical functional and its corresponding estimator given by replacing the cumulative distribution function estimator F with its empirical counterpart. The focus of the chapter is on variance and confidence interval estimation for a class of statistical functionals. Computer code is also provided to illustrate how to implement the statistical procedures in real-world applications.
